SELECTION OF ELECTRIC ENERGY PRODUCTION TECHNOLOGIES USING DEA (CASE STUDY: IRAN)

Abstract

Utilization of new energy technologies has been
received a lot of attentions towards a sustainable energy
system. In recent years, policy makers have to rethink
on their strategies to warrant support for private sector
efforts, including funding and other incentives.
Considering energy technologies in terms of the
sustainability practices is a complicated task. This paper
intends to select and rank a number of technologies, in
the context of the Iran Technology Foresight Program
from a sustainable point of view. Therefore, data
envelopment analysis (DEA) approach as a multicriteria tool has been applied for energy production
technology selection. This selection decision has been
made based on decision makers’ opinion in linguistic
terms. To handle the subjectivity of decision makers’
assessments, fuzzy logic has been applied.